Figanos should rescale logos/images to fit the intended purpose

[Zeitsperre]

Figanos doesn't use actual scaling; Using zoom will deteriorate the image since it doesn't perform any interpolation (from what I can see in the docs for OffsetImage), but given that it's a PNG, we should be able to scale it down and/or constrain it to a region with Matplotlib (an example of that here: https://stackoverflow.com/questions/16742111/scale-image-in-matplotlib-without-changing-the-axis).

Lowering the logo resolution is a double-edged sword, since maybe it looks fine on monitors or in a notebook, but it'll look bad in print (article, poster) form. This is the exact problem that Seaborn deals with using their set_context() method.

Matplotlib offers lots of ways of interpolating/rescaling images: https://matplotlib.org/stable/api/image_api.html (more if we consider using scipy). Maybe it's worth looking into?

Originally posted by @Zeitsperre in #119 (comment)

[sarahclaude]

I remember trying a lot of other different ways (like PIL and opencv) to change the logo resolution via python and the logo always came out blurry on the figure that's why I modified it outside code. I don't know if I tried changing it via matplotlib.
Also offsetImage was convenient for the logo position since it didn't require to look at the data (like ax.imshow extend).
I think it would also be better to not have user ponder on image resolution and have a default option (screen) and other options like poster, report,... where we set ourselves the resolutions

[cothel]

Avez-vous contacté Catherine pour avoir une version plus appropriée du logo (résolution et/ou format) qui fonctionnerait mieux avec Figanos? À condition évidemment de déjà connaitre ce qui fonctionnerait le mieux...